Skip to main content
. Author manuscript; available in PMC: 2014 Dec 24.
Published in final edited form as: Psychol Assess. 2011 Sep 12;24(1):173–186. doi: 10.1037/a0025265

Table 4.

Model Fit in the Analysis Sample (N = 3,000)

χS-B2
df SC
ΔχS-B2
Δdf
ΔCIχS-B2
ΔCI df CFI RMSEA
Model E 2514.30* 231 0.614 0.976 0.057
Model E* 380.52* to 621.79* 231 0.587 to 0.697 0.956 to 0.983 0.058 to 0.072
Model CI 5255.58* 2310 0.620 0.972 0.065
Model WMI 5461.70* 2526 0.686 350.80* 216 0.972 0.062
Model SMI 5653.54* 2697 0.688 199.17* 171 577.00* 387 0.972 0.060
Model CMI 5921.79* 2913 0.750 361.98* 216 947.81* 603 0.971 0.059
Model CMIr 5963.75* 2967 0.751 46.50 54 1007.20* 657 0.971 0.058
Model CMIrv 5966.26* 3012 0.794 71.21* 45 1082.09* 702 0.972 0.057
Model CMIrvc 5908.13* 3102 0.938 147.22* 90 1224.00* 792 0.973 0.055
Model CMIrvcm 6247.31* 3147 0.972 269.97* 45 1447.89* 837 0.970 0.057

Note. χS-B2 = Satorra-Bentler adjusted chi-square, df = degrees of freedom, SC = scaling correction factor, ΔχS-B2 = Satorra-Bentler adjusted chi-square difference, Δdf = degrees of freedom difference, ΔCIχS-B2 = Satorra-Bentler adjusted chi-square difference to Model CI, CFI = comparative fit index, RMSEA = root mean square error of approximation; Model E: see Table 2; Model E* = Model E modelled separately in each age group. Given is the range of fit indexes; Model CI = multiple-groups model of configural invariance; Model WMI = multiple-groups model of weak measurement invariance; Model SMI = multiple-groups model of strong measurement invariance; Model CMI = multiple-groups model of strict or complete measurement invariance; Model CMIr = Model CMI plus equal residual covariances, Model CMIrv = Model CMIr plus equal factor variances; Model CMIrvc = Model CMIrv plus equal factor covariances. Model CMIrvcm = Model CMIrvc plus equal factor means.

*

p < .01.